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Jeff Eastman edited comment on MAHOUT-826 at 1/10/12 2:23 AM: -------------------------------------------------------------- Sean, Isabel, Andre-Philippe, Robin: Is this issue going to be resolved pretty soon? It is really the long pole in the 0.6 tent right now. was (Author: jeastman): Sean, Isabel, Andre-Philippe: Is this issue going to be resolved pretty soon? It is really the long pole in the 0.6 tent right now. > Bayes/CBayes classification on a non-existing feature > ----------------------------------------------------- > > Key: MAHOUT-826 > URL: https://issues.apache.org/jira/browse/MAHOUT-826 > Project: Mahout > Issue Type: Bug > Components: Classification > Affects Versions: 0.5 > Reporter: Andre-Philippe Paquet > Assignee: Robin Anil > Priority: Minor > Fix For: 0.6 > > Attachments: mahout-826.patch, mahout-826.patch > > > (see http://comments.gmane.org/gmane.comp.apache.mahout.user/9597) > Using CBayes or Bayes, when trying to classify a feature/word that doesn't > exist in the model, instead of returning the default/unknown label, the > algorithm returns all labels with a constant score (ex: 12.386649147018964). > After a quick look in CBayesAlgorithm, I found the problem in the > featureWeight function that returns the theta normalized weight even if the > feature didn't have any match (result=0). > As a fix, I overrided the function in a subclass and return 0 if the weight > of the current feature in the current label is 0. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira